Akira Takada

3.6k citations
95 papers · 2.8k indexed · h-index 28

Akira Takada

88 papers receiving 2.7k citations

Peers

Akira Takada
Comparison fields: 5 of 131
  • Hepatology 1.2k
  • Pathology and Forensic Medicine 865
  • Epidemiology 1.4k
  • Biochemistry 183
  • Sensory Systems 97
Replace Susumu Shiomi with:
Susumu Shiomi Japan
Joseph N. Benoit United States
Reinhild Klein Germany
Tao Han China
Yuki Kimura Japan
Matthew L. Steinhauser United States
Kazuma Fujimoto Japan
Jin Qian China
Masahiro Sakata Japan
Eckart Schott Germany
Akira Takada relative to Susumu Shiomi Japan Susumu Shiomi's profile →
Citations per field
00.5×4.8×
Susumu Shiomi · 1×
Citations per year

Countries citing papers authored by Akira Takada

Since Specialization
Citations

This map shows the geographic impact of Akira Takada's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Akira Takada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Takada more than expected).

Fields of papers citing papers by Akira Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akira Takada. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Akira Takada. The network helps show where Akira Takada may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Akira Takada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Akira Takada Line = papers co-authored together Akira Takada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20102
2
20050
3
20050
4 200511
5
The !Xu San: Poverty and Tension
20023
6 20011
7 1996111
8 199612
9 199628
10 199353
11 199362
12 19929
13 199014
14 19891
15
STUDIES ON DESQUAMATION OF ESOPHAGEAL VARICES FOLLOWING ENDOSCOPIC SCLEROSING THERAPY
19880
16 19881
17 19850
18 19811
19
An outbreak of postoperative acute hepatitis due to non-A, non-B hepatitis virus
19812
20 19801

About Akira Takada

Akira Takada is a scholar working on Hepatology, Pathology and Forensic Medicine, Sensory Systems, Epidemiology and Biochemistry, having authored 95 papers that have together received 2.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (39 papers), Alcohol Consumption and Health Effects (37 papers), Hepatitis C virus research (17 papers), Drug-Induced Hepatotoxicity and Protection (9 papers), Liver physiology and pathology (8 papers), Hearing, Cochlea, Tinnitus, Genetics (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Hepatitis B Virus Studies (5 papers). The work is most often cited by research in Hepatology (1.2k citations), Pathology and Forensic Medicine (865 citations), Epidemiology (1.4k citations), Biochemistry (183 citations) and Sensory Systems (97 citations). Akira Takada has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Shujiro Takase, Nobuyuki Enomoto, Mikihiro Tsutsumi, Takayasu Date, Nobuo Takada, Yoshiro Matsuda, Minoru Yasuhara, T. Nakao, Jochen Schacht and Jiansong Wang. Their work appears in journals such as Alcohol and Alcoholism, Alcoholism Clinical and Experimental Research, Alcohol, Hepatology and Journal of Gastroenterology and Hepatology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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